Date |
Reading |
Topics |
3rd April |
1 |
Optimization models |
5th April |
2.2 |
Feasibility and optimality |
7th April |
2.3-4 |
Convexity and the general optimization algorithm |
10th April |
3.1 |
Basics concepts of linear constraints |
12th April |
3.1,4.1 |
Basics concepts, cont'd; intro to geometry of linear programming |
14th April |
4.2 |
Standard from |
17th April |
4.3 |
Basic solutions and extreme points |
19th April |
4.3 |
Basic solutions and extreme points, cont'd |
21st April |
4.4 |
Representation of solutions; optimality |
24th April |
5.2 |
Simplex method |
26th April |
5.2 |
Simplex method, cont'd |
28th April |
6.1 |
Dual problem |
1st May |
6.2 |
Duality theory |
3rd May |
6.2.1-2 |
Duality theory, cont'd |
5th May |
Midterm Exam |
|
8th May |
B4,2.3.1,2.6 |
Gradient, hessian, Jacobian; convexity; Taylor's series |
10th May |
2.7 |
Newton's method |
12th May |
10.2 |
Optimality conditions |
15th May |
10.3 |
Newton's method for minimization |
17th May |
3.2 |
Null and range spaces |
19th May |
B7,14.2 |
Chain rule; Optimality conditions for linear equality constraints |
22nd May |
B7,14.2 |
linear equality constraints, cont'd |
24th May |
14.3 |
Lagrange multipliers |
26th May |
14.4 |
Optimality conditions for linear inequality constraints |
29th May |
Memorial Day |
|
31st May |
14.4 |
Linear inequality constraints, cont'd |
2nd June |
14.5 |
Optimality conditions for nonlinear constraints |
5th June |
14.5 |
Nonlinear constraints, cont'd |
7th June |
14.5 |
Nonlinear constraints, cont'd |
9th June |
Review |
|
15th June |
Final Exam |